Group

PhD Students:

Mr Zhaoan Ye (2021 - ), Causal perception and representation of autonomous systems.

Zhaoan graduated from Shanghai Maritime University with a Bachelor in Electronic Information Engineering. He obtained the Master degree in Electrical and Electronic Engineering at University of Glasgow in 2021 with the MSc project entiled Control for Safe and Trustworthy Autonomous Vehicle based on Model Predictive Control. He is currently focusing on learning-based model with safe learning and trying to combine the model with the control system.

Mr Qikun Chen (2022 - ), Causal discovery and reasoning of autonomous systems.

Qikun graduated from the University of Sheffield with a bachelor's degree in Mechanical Engineering. He got a Master's degree in Mechanical Engineering at the University of Glasgow in 2021 with the graduate project of designing a generic algorithm based route planner for autonomous logistics and distribution. He is now working on decision making in the adversarial environment, autonomous robots and causal learning.

Mr. Yansong Jiang (2022 - ) Explainable perception of autonomous vehicles.

Yansong Jiang graduated from Northeast Petroleum University in 2018 with a Bachelor's degree. He also worked as an equipment engineer in the lubricants division of Sinopec. In 2021, he received his MSc in Electrical & Electronic Engineering from the University of Glasgow. His current research interests are event cameras and anti-overconfidence of machine learning in autonomous vehicles.

Mr Xiao Yi (2022 - ), Safe decision making of autonomous vehicles.

Xiao is a PhD student majoring in autonomous driving. He completed his undergraduate degree in Automotive Service Engineering at Tongji University in 2019 and got the MSc degree in Mechanical Engineering at University if Glasgow in 2021. His current work is focused on intelligent driving of vehicles.

Mr Xidong Yan (2022 - ), Large language model based robotic control.

Xidong graduated from the Nanjing University of Science and technology with a bachelor's degree in Mechanical Engineering. He got a master’s degree in Mechatronics at the University of Glasgow in 2021 with the graduate project of coordination and control of multiple planetary rovers. He is now working on causal inference and prediction in the autonomous systems.

Mr Xingyu Tao (2023 - ), Event triggered cameras and decision making for autonomous systems.

Xingyu graduated from University of Electronic Science and Technology of China with a bachelor's degree major in Electrical and Electronic Engineering. He got a master’s degree in City University of Hong Kong major in Electronic Information Engineering. He used to work in an autonomous driving company in China as automation engineer. Now he is focusing on Event triggered cameras and decision making.

Mr Qinglin Bi (2023 - ), Visual language models and visual understanding in robotic control.

Qinglin graduated from Beijing Jiaotong University and the University of Wollongong with a bachelor's degree in Mechatronics Engineering. He obtained a master's degree in Robotics & AI at the University of Glasgow in 2023 with a graduate project on a Human-machine collaboration system based on large language models. He is now working on robotics control via large language models and visual language models.

Mr Jingzhi Ruan (2024 - ), Large language model based robotic perception.

Jingzhi graduated from the Nanjing University of Science and Technology with a bachelor's degree in Automation. He got a master’s degree in Robotics and AI at the University of Glasgow in 2023 with the graduate project of LIPTOR - AI and Machine Vision-based Litter Picking Autonomous Robot. He is currently focused on research in robotic and autonomous vehicle perception based on large models.

Mr Zixuan Huang (2024 - ), Decision making of unmanned vehicles based on digital twins

Zixuan graduated from Chang'an University with a Bachelor's degree in Mechatronics. In 2022, he received a MSc degree in Smart, Connected and Autonomous Vehicles from the University of Warwick, where his graduation project was a study on the fidelity of rainfall simulation. He is now exploring the decision making of autonomous vehicles based on digital twins.

Mr Boyu Chen (2024 - ), End-to-end autonomous driving with scene understanding

Boyu graduated from the Macau University of Science and Technology with a bachelor's degree in Software Engineering. He obtained a master's degree in Software Engineering at the University of Southampton. His research interests focus on end-to-end models for decision-making in autonomous vehicles.

Visiting Academics:

Dr Guochen Niu (2023-2024), College of Electronics and Automation, Civil Aviation University of China, Tianjin, China.
Dr Zeyu Zhang (2021-2022), School of Construction Machinery, Chang'An University, Xi'An, China.

Visiting PhD Students:

Mr Zhichao Li (2024), School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China.
Mr Fan Guo (2025), School of Mechanical Engineering, Tianjin University, Tianjin, China.

Alumni:

PhD:

Dr Rongyu Yu (2021-2025), Human behavior-driven robotics and security.
Dr Zhen Tian (2021-2025), Training-efficient deep reinforcement learning for safe autonomous driving.
Dr Harikrishnan Vijayakumar (2019-2024), Uncertainty aware decision making for automated vehicles.
Dr Weihao Lu (2019-2023), Deep learning for 3D object detection on point clouds for autonomous driving.
Dr Jinsong Yang (2018-2023), Eco-driving for connected and automated vehicles in mixed traffic.
Dr Xiaoyan Hu (2018-2022), Nonlinear control based on structurally optimised neural fuzzy networks.
Dr Wen Gu (2017-2022), Neuro fuzzy modelling and predictive control of automotive powertrains.

PDRA:

Dr Jianglin Lan (2018-2021), Path planning and control of automated vehicles, now a Lecturer at University of Glasgow, UK.
Dr Dan Zhou (2020-2021), Energy management of autonomous vehicles, now a Professor at Shandong University of Technology, China.
Dr Lu Ge (2020-2021), Communications in industrial internet of things, now a PDRA at Unviersity of Leicester, UK.
Dr Juan Du (2019-2020), Image analysis and machine learning, now an Assistant Professor at Tianjin University, China.

MSc:

Mr Yu Wang (2023-2024), Drone Inspection of Wind Turbines Enhanced by Large Language and Visual Models.
Ms Xinyu Wang (2023-2024), Stability Control System Design for Electric Vehicles.
Ms Shuaifei Wang (2023-2024), Coordinated Path Planning and Following Strategies for Enhanced Automated Parking.
Mr Vivien Wilfred Sagayaraj (2023-2024), Optimizing Autonomous Vehicle Behaviour at Unsignalized Roundabouts: A Bayesian Game Theoretic Approach
Mr Zhicheng Zhang (2023-2024), Dynamic-Model Based Control and Planning for Autonomous Vehicles.
Mr Jie Tian (2023-2024), Environment Perception In Gazebo Simulation Platform Using YOLOV8.
Mr Qinglin Bi (2022-2023), Human-machine collaboration system based on LLM.
Mr Jiameng Cui (2022-2023), Design and Simulation of Learning Based Model Predictive Control Method for Autonomous Driving.
Mr Youlin Xia (2022-2023), A Method of Deep Reinforcement Learning Based Autonomous Driving in Carla.
Mr Zeren Zhao (2022-2023), Bayesian Network Based Decision Making for Autonomous Driving.
Mr Chengyu Chen (2022-2023), Deep Reinforcement Learning Based on Staged-training for Autonomous Driving in CARLA.
Mr Yujia Sun (2022-2023), End-to-end autonomous driving strategy based on CNN model.
Mr Zishun Wang (2022-2023), Decision Making of Autonomous Vehicles.
Mr Yiqi Li (2021-2022), Reinforcement learning based decision making for lane changing in autonomous driving.
Mr Yibo Zhao (2021-2022), Safe and trustworthy autonomous driving quantifying uncertainty using Bayesian neural networks.
Mr Xu Li (2021-2022), Decision-making and trajectory tracking for lane change in autonomous driving.
Mr Shouhua Xu (2021-2022), Causal learning and autonomous vehicle decision making.
Mr Nandi Reddy Pondugula (2021-2022), Learning based controller design for autonomous driving.
Mr Ankai Zhang (2021-2022), Safe and Trustworthy Autonomous Vehicle: Automatic Emergency Braking with Sensor Fusion.
Mr Jiayuan Fang (2021-2022), Multi-object detection based on YOLO-V5 and transfer learning.
Mr Jialong Li (2021-2022), A motion planning system for autonomous vehicles in unknown environments.
Mr Zhaoan Ye (2020-2021), Control for Safe and Trustworthy Autonomous Vehicle Based on Model Predictive Control.
Mr Yansong Jiang (2020-2021), A method of multi-target recognition based on YOLO neural network learning model.
Mr Qikun Chen (2020-2021), Trajectory Planning and Route Selection for Autonomous Logistic Distribution.
Mr Yang Liu (2020-2021), Design and verification of the adaptive multi-sensor fusion algorithm based on weather and scene conditions.
Mr Hongyu Sun (2020-2021), Game theory research on lane changing in autonomous driving.
Mr Tianle Li (2020-2021), Path planning for overtaking behaviour of autonomous vehicles.
Mr Weicong Li (2020-2021), Autonomous parallel parking system operating in urban areas.
Mr Yi Ding (2020-2021), Vehicle blind spot detection based on frequency modulated continuous wave.
Ms Linqing Cai (2020-2021), Optimisation of automatic parking assist system.
Mr Runkun Ju (2019-2020), Path planning and tracking of automated vehicles in mixed autonomy.
Mr Harikrishnan Vijayakumar (2018-2019), Energy efficient autonomous vehicle.
Mr Niket Lachake (2018-2019), Model predictive adaptive cruise control of autonomous vehicles based on sensor fusion.
Mr Kutbay East Dervis (2017-2018), Real-time energy management of hybrid electric vehicles based on terrain information.
Mr Jiasheng Shao (2017-2018), Road condition preview based energy management strategy for hybrid electric vehicles.

MEng:

Mr Shalin Mahal (2024-2025), Path planning in overtaking of autonomous vehicles.
Ms Viktoria Meszaros (2023-2024), Application of Deep Learning Models for Vehicle Trajectory Prediction.
Mr Nuaym Abubakar (2023-2024), Path Planning to Overtaking for Autonomous Vehicles.
Mr Ewan Hamilton (2022-2023), An Outdoor Path Planning, Smoothing and Tracking Autonomous Wheelchair Software With Realised Proof of Concept.
Mr Andrew Chrumka (2022-2023), Path-Planning and Following of Autonomous Vehicles in Lane Changing.
Mr Gautam Gupta (2021-2022), Variable speed parking system for autonomous vehicles.
Mr Nectarios Phanos (2021-2022), Automatic parking space detection and classification on surround view images.
Mr Harry Hogg (2021-2022), Investigation of autonomous adaptive cruise control systems and their reliability to approach manoeuvres.
Mr Scott Black (2021-2022), Traffic wave dampening in mixed traffic platoons via bilateral control
Mr Sotaro Yamamoto (2019 - 2020), Eco-driving of connected and autonomous vehicles.
Mr Yoshiki Watanabe (2019 - 2020) Optimal route planning and following of autonomous vehicles.

BEng:

Mr Patrick Casey (2024-2025), Automatic parking sensors.
Mr Santanu Kothamasi (2024-2025), Path planning in overtaking of autonomous vehicles.
Mr Louuis Finn (2023-2024), Path Planning Algorithms for use in the Overtaking Process of Autonomous Vehicles.
Mr Ben Finnie (2023-2024), Path Planning in Overtaking of Autonomous Vehicles.
Mr Feiyang Wang (2023-2024), Automatic Parking Systems.
Mr David De La Torre Lorenzo (2022-2023), Path planning of automated parallel parking system.
Mr Euan Macfarlane (2022-2023), Automatic Parking Systems.
Ms Jingyi Miao (2021-2022), Automatic parking system, now a PhD student at University of Rice.
Mr Hady Farrag (2021-2022), Path planning in overtaking of of autonomous vehicles.
Mr Amal Ahmed (2021-2022), Design and simulation of adaptive cruise control system in Simulink.

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